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Article
Open AccessEffect of Infusion Set Replacement Intervals on Central Line-Associated Bloodstream Infection in the Intensive Care Unit: Study Protocol of the INSPIRATION Study
The replacement intervals for infusion sets may differ among healthcare institutions, which may have an impact on the occurrence of central line-associated bloodstream infections (CLABSI). Nevertheless, there ...
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Article
Open AccessApplication of Machine Learning for Clinical Subphenotype Identification in Sepsis
Sepsis is a heterogeneous clinical syndrome. Identification of sepsis subphenotypes could lead to allowing more precise therapy. However, there is a lack of models to identify the subphenotypes in such patient...
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Article
Open AccessExplainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission
Septic patients requiring intensive care unit (ICU) readmission are at high risk of mortality, but research focusing on the association of ICU readmission due to sepsis and mortality is limited. The aim of thi...
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Article
Open AccessInterpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study
This study aimed to develop and validate an interpretable machine-learning model based on clinical features for early predicting in-hospital mortality in critically ill patients with sepsis.
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Article
Open AccessAssociation of Thiamine Use with Outcomes in Patients with Sepsis and Alcohol Use Disorder: An Analysis of the MIMIC-III Database
The association between thiamine use and clinical outcomes among patients with sepsis and alcohol use disorder (AUD) is unclear.